EconPapers    
Economics at your fingertips  
 

On the eccentricity inertia indices of chain graphs

Jing Huang and Minjie Zhang

Applied Mathematics and Computation, 2025, vol. 493, issue C

Abstract: For a given graph G, the eccentricity matrix of it, written as ε(G), is created by retaining the largest non-zero entries for each row and column of the distance matrix, while filling the rest with zeros, i.e.,ε(G)uv={d(u,v),ifd(u,v)=min⁡{ε(u),ε(v)},0,otherwise, where ε(u) denotes the eccentricity of a vertex u. The eccentricity inertia index of a graph G is represented by a triple (n+(ε(G)), n0(ε(G)), n−(ε(G))), where n+(ε(G)) (resp., n0(ε(G)),n−(ε(G))) is the count of positive (resp., zero, negative) eigenvalues of ε(G). In this paper, for each chain graph (a graph which does not contain C3,C5, or 2K2 as induced subgraphs), the eccentricity inertia index of it is completely determined.

Keywords: Chain graph; Eccentricity inertia index; Quotient matrix (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S009630032400732X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:493:y:2025:i:c:s009630032400732x

DOI: 10.1016/j.amc.2024.129271

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-05-31
Handle: RePEc:eee:apmaco:v:493:y:2025:i:c:s009630032400732x